A Knowledge-Enriched Ensemble Method for Word Embedding and Multi-Sense Embedding
Representing words as embeddings has been proven to be successful in improving the performance in many natural language processing tasks. Different from the traditional methods that learn the embeddings from large text corpora, ensemble methods have been proposed to leverage the merits of pre-traine...
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Veröffentlicht in: | IEEE transactions on knowledge and data engineering 2023-06, Vol.35 (6), p.5534-5549 |
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